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Static Graphs.Rmd
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Static Graphs.Rmd
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---
title: "static graphs"
author: "Zoe Meers"
date: "11 July 2017"
output:
html_document: default
---
```{r setup, include=FALSE, warnings=FALSE, message=FALSE}
library(knitr)
library(tufte)
library(kfigr)
library(plyr)
library(dplyr)
library(grDevices)
library(ggplot2)
library(grid)
library(htmlwidgets)
library(highcharter)
library(htmltools)
library(yaml)
ussc_lightBlue <- rgb(0,157,227,maxColorValue = 255)
ussc_darkBlue <- rgb(28,57,110,maxColorValue = 255)
ussc_red <- rgb(237,27,53,maxColorValue = 255)
colorVector <- c("D"=ussc_lightBlue,"R"=ussc_red)
colorVector2 <- c("Dem"=ussc_lightBlue,"Rep"=ussc_red)
ussc_lightBlue_alpha <- rgb(0,157,227,alpha=185,maxColorValue = 255)
ussc_darkBlue_alpha <- rgb(28,57,110,alpha=185,maxColorValue = 255)
ussc_red_alpha <- rgb(237,27,53,alpha=185,maxColorValue = 255)
univers <- quartzFont(paste("Univers LT Pro",
c("55 Roman","65 Bold","55 Roman","65 Bold")))
quartzFonts(univers=univers)
mytheme <- theme_bw(base_family="univers") +
theme(plot.margin = unit(c(2,2,2,2),"pt"),
text=element_text(family="univers"),
strip.text = element_text(size=9),
axis.title.x = element_text(size=9,family = "univers"),
axis.title.y = element_text(size=9,family="univers"),
axis.text.x = element_text(size = 9),
axis.text.y = element_text(size = 7),
legend.text = element_text(size=9,family="univers"),
legend.title = element_text(size=9,family="univers"),
legend.key.size = unit(x = 9,units = "pt")
)
```
```{r pres_approval, include=FALSE, warnings=FALSE, message=FALSE}
nixon <- scan(file="~/Trump-Impeachment/Nixon/approval.txt",
strip.white = TRUE,
what=list(startDate="",endDate="",
approve=0,disapprove=0,dk=0))
nixon <- as.data.frame(nixon)
names(nixon) <- c("startDate","endDate","approve","disapprove","dk")
nixon$startDate <- as.Date(nixon$startDate,format="%m/%d/%Y")
nixon$endDate <- as.Date(nixon$endDate,format="%m/%d/%Y")
nixon$midDate <- nixon$startDate + (nixon$endDate-nixon$startDate)/2
nixon$who <- "Nixon"
nixon.inaug <- as.Date("1969-01-20")
## Clinton
load("~/Trump-Impeachment/Clinton/approval.RData")
clinton$who <- "Clinton"
clinton.inaug <- as.Date("1993-01-20")
## Trump
load("~/Trump-Impeachment/Trump/approval.RData")
approval$who <- "Trump"
trump.inaug <- as.Date("2017-01-20")
Trump.approve.percent <- approval %>%
filter(survey_house=="Gallup")
Trump.approve.percent$newdat3 <- Trump.approve.percent$midDate-trump.inaug+nixon.inaug
Trump.approve.percent$newdate6 <- Trump.approve.percent$midDate-trump.inaug+clinton.inaug
```
```{r, echo=FALSE}
library(ggplot2)
library(grDevices)
Nixon.app.rate <- ggplot()+
geom_rect(data=nixon, aes(ymin= -Inf, ymax = Inf, xmin=as.Date("1973-10-30", "%Y-%m-%d"), xmax=as.Date("1974-07-30", "%Y-%m-%d")), fill='#FF9999', alpha=0.008) +
geom_line(data=nixon, size=1, aes(x=midDate, y=approve, color="Nixon")) +
ggtitle("Nixon") + xlab("Year") + ylab("Approval Rating (%)") + scale_x_date(date_labels= "%y", date_breaks = "1 year") +
scale_y_continuous(limits = c(20, 80)) +
annotate("text", x=as.Date("1974-04-01", "%Y-%m-%d"), y=75, label="House Judiciary Committee\n investigation and hearings", size=2.3) +
geom_line(data=Trump.approve.percent, size=1, aes(x=newdat3, y=Approve, color = "Trump"))+
scale_color_manual(values = c(Nixon=ussc_lightBlue, Trump=ussc_red)) + mytheme +
theme(legend.title=element_blank(), legend.position = "bottom")
Nixon.app.rate
```
```{r, echo=FALSE}
Clinton.app.rate <- ggplot() +
geom_rect(data=clinton, aes(ymin= -Inf, ymax = Inf, xmin=as.Date("1998-09-09", "%Y-%m-%d"), xmax=as.Date("1999-02-12", "%Y-%m-%d")), fill='#FF9999', alpha=0.008) +
geom_line(data=clinton, size=1, aes(x=midDate, y=as.numeric(approve), color="Clinton")) +
ggtitle("Clinton") + xlab("Year") + ylab("Approval Rating (%)") +
scale_x_date(date_labels= "%y", date_breaks = "1 year") +
scale_y_continuous(limits = c(20, 80)) +
annotate("text",x=as.Date("2000-01-01", "%Y-%m-%d"), y=80, label="Impeachment deliberation\n and Senate trial", size=2.5) +
mytheme +
geom_line(data=Trump.approve.percent, size=1, aes(x=newdate6, y=as.numeric(Approve), color="Trump")) + scale_color_manual(values = c(Clinton=ussc_lightBlue, Trump=ussc_red)) +
theme(legend.title=element_blank(), legend.position = "bottom")
Clinton.app.rate
```
```{r, include=FALSE, warnings=FALSE, message=FALSE}
library(readxl)
app.pid <- readxl::read_excel(path="~/Trump-Impeachment/Nixon/Gallup Presidential Approval by Party ID, 1953-2017.xls")
names(app.pid)[1] <- "date"
```
```{r, include=FALSE, warnings=FALSE, message=FALSE}
library(dplyr)
library(ggplot2)
Napp.pid <- app.pid %>%
filter(President==4) %>%
filter(date >=nixon.inaug)
```
```{r, echo=FALSE, warnings=FALSE, message=FALSE}
#nixon, party ID app rate
nixon.pid <- ggplot() +
geom_rect(data=Napp.pid, aes(ymin= -Inf, ymax = Inf, xmin=as.POSIXct("1973-10-30"), xmax=as.POSIXct("1974-07-30")), fill="#FF9999", alpha=0.008) +
geom_line(data=Napp.pid, aes(x=date, y=dem_app, color="Democrats"), size=1) +
geom_line(data=Napp.pid, aes(x=date, y=ind_app, color='Independents'), size=1) +
geom_line(data=Napp.pid, aes(x=date, y=rep_app, color="Republicans"), size=1) +
ggtitle("Nixon") + xlab("")+ ylab("") +
scale_y_continuous(limits = c(0,100)) + annotate(data = nixon, "text", x=as.POSIXct("1974-03-06 UTC"), y=95, label="House Judiciary Committee\n investigation and hearings", size=2.5) +
mytheme +
scale_color_manual(values = c(Democrats=ussc_darkBlue, Republicans=ussc_red, Independents ='black')) +
theme(legend.title=element_blank(), legend.position = "none")
nixon.pid
```
```{r, echo=FALSE, warnings=FALSE, message=FALSE}
library(dplyr)
library(ggplot2)
Capp.pid <- app.pid %>%
filter(President==9) %>%
filter(date >=clinton.inaug)
#Clinton party ID app. rating
clinton.pid <- ggplot() +
geom_rect(data=Capp.pid, aes(ymin= -Inf, ymax = Inf, xmin=as.POSIXct("1998-08-09"), xmax=as.POSIXct("1999-01-06")), fill="#FF9999", alpha=0.008) +
geom_line(data=Capp.pid, aes(x=date, y=dem_app, color="Democrats"), size=1) +
geom_line(data=Capp.pid, aes(x=date, y=ind_app, color="Independents"), size=1) +
geom_line(data=Capp.pid, aes(x=date, y=rep_app, color="Republicans"), size=1) +
ggtitle("Clinton") + xlab("") +ylab("Approval rating (%)") +
scale_y_continuous(limits = c(0,100)) +
annotate(data = Capp.pid, "text",x=as.POSIXct("1999-01-06"), y=15, label="Impeachment deliberation\n and Senate trial", size=2.5) +
mytheme +
scale_color_manual(values = c(Democrats=ussc_darkBlue, Republicans=ussc_red, Independents ='black')) +
theme(legend.title=element_blank(), legend.position = "none")
clinton.pid
```
```{r, echo=FALSE}
library(dplyr)
library(ggplot2)
Tapp.pid <- app.pid %>%
filter(President==12) %>%
filter(date >=trump.inaug)
Trump.partyID <- ggplot() +
geom_line(data=Tapp.pid, aes(x=date, y=dem_app, color="Democrats"), size=1) +
geom_line(data=Tapp.pid, aes(x=date, y=ind_app, color="Independents"), size=1) +
geom_line(data=Tapp.pid, aes(x=date, y=rep_app, color="Republicans"), size=1) +
ggtitle("Trump") + xlab("") +ylab("") +
scale_y_continuous(limits = c(0,100)) + mytheme +
scale_color_manual(values = c(Democrats=ussc_darkBlue, Republicans=ussc_red, Independents ='black')) +
theme(legend.title=element_blank(), legend.position = "bottom")
Trump.partyID
```
<<<<<<< HEAD
=======
```{r, echo=FALSE}
library(gridExtra)
a <- arrangeGrob(nixon.pid, clinton.pid, Trump.partyID, nrow=3)
```
>>>>>>> 1f9560d25cc9942922ac04cd80cc75840012eb13
```{r, include=FALSE}
## fix app.pid codings of when presidents start
# <- readxl::read_excel(path="../Nixon/Gallup Presidential Approval by Party ID, 1953-2017.xls")
names(app.pid)[1] <- "date"
app.pid$President[app.pid$date>as.Date("1963-12-08") & app.pid$date<as.Date("1969-01-21")] <- 3 ## Johnson
app.pid$President[app.pid$date>as.Date("1977-01-20") & app.pid$date<as.Date("1981-01-20")] <- 6 ## Carter
app.pid$President[app.pid$date>as.Date("1981-01-20") & app.pid$date<as.Date("1989-01-20")] <- 7 ## Reagan
app.pid$President[app.pid$date>as.Date("1989-01-20") & app.pid$date<as.Date("1993-01-20")] <- 8 ## Bush
app.pid$inparty_app <- rep(NA,dim(app.pid)[1])
app.pid$inparty_app[app.pid$President==1] <- app.pid$rep_app[app.pid$President==1] ## Ike
app.pid$inparty_app[app.pid$President==2] <- app.pid$dem_app[app.pid$President==2] ## JFK
app.pid$inparty_app[app.pid$President==3] <- app.pid$dem_app[app.pid$President==3] ## LBJ
app.pid$inparty_app[app.pid$President==4] <- app.pid$rep_app[app.pid$President==4] ## RMN
app.pid$inparty_app[app.pid$President==5] <- app.pid$rep_app[app.pid$President==5] ## Ford
app.pid$inparty_app[app.pid$President==6] <- app.pid$dem_app[app.pid$President==6] ## Carter
app.pid$inparty_app[app.pid$President==7] <- app.pid$rep_app[app.pid$President==7] ## Reagan
app.pid$inparty_app[app.pid$President==8] <- app.pid$rep_app[app.pid$President==8] ## GHWB
app.pid$inparty_app[app.pid$President==9] <- app.pid$dem_app[app.pid$President==9] ## WJC
app.pid$inparty_app[app.pid$President==10] <- app.pid$rep_app[app.pid$President==10] ## W
app.pid$inparty_app[app.pid$President==11] <- app.pid$dem_app[app.pid$President==11] ## Obama
app.pid$inparty_app[app.pid$President==12] <- app.pid$rep_app[app.pid$President==12] ## Trump
inaug.dates <- as.Date(c("1953-01-20","1961-01-20","1963-11-22",
"1969-01-20","1974-08-09",
paste(c(1977,1981,1989,1993,2001,2009,2017),
"-01-20",sep="")))
app.pid <- ddply(app.pid,.(date),
summarise,
date=date[1],
President=President[1],
inparty_app=mean(inparty_app))
presName <- c("Ike","JFK","LBJ",
"Nixon","Ford","Carter",
"Reagan","GHWB","Clinton",
"GWB","Obama","Trump")
app.pid <- merge(app.pid,
data.frame(idate=as.POSIXct(inaug.dates),
presName=presName,President=1:12),
by="President")
app.pid <- app.pid %>%
group_by(President) %>%
mutate(dop = as.numeric(date - idate)) %>%
ungroup()
dop.max <- max(app.pid$dop[app.pid$President==12]) + 5
```
```{r, include=FALSE}
app.pid <- subset(app.pid, dop <= dop.max)
```
```{r, echo=FALSE, message=FALSE, warnings=FALSE}
Trump_app <- app.pid %>%
filter(President==12)
comp.app.pid <- app.pid %>%
filter(dop<=163)
Trump.app.comp <- ggplot() +
geom_line(data = comp.app.pid, aes(x=dop, y=inparty_app, group=presName, color="Other Presidents")) +
geom_line(data=Trump_app, size=2, (aes(x=dop, y=inparty_app, color="Trump"))) +
xlab("Days of Presidency ") + ylab("In-party approval rating (%)") + theme_bw() +
ggtitle("Trump approval among in-party partisans, compared with\n Eisenhower to Obama") +
mytheme +
scale_color_manual(values = c(Trump=ussc_red, 'Other Presidents' = 'black')) +
theme(legend.title=element_blank(), legend.position = "bottom")
Trump.app.comp
```